Pattern recognition in a database of cartridge cases

Zeno J. Geradts; Jurrien Bijhold; Rob Hermsen

doi:10.1117/12.334520

4 February 1999 Pattern recognition in a database of cartridge cases

Zeno J. Geradts, Jurrien Bijhold, Rob Hermsen

Proceedings Volume 3576, Investigation and Forensic Science Technologies; (1999) https://doi.org/10.1117/12.334520
Event: Enabling Technologies for Law Enforcement and Security, 1998, Boston, MA, United States

Abstract

Several systems exist for collecting spent ammunition for forensic investigation. These databases store images of cartridge cases and the marks on them. The research in this paper is focused on the different methods of feature selection and pattern recognition that can be used for comparison. For automatic comparison of these images it is necessary to extract firstly the useful parts of the images. On databases of 3800 images several processing steps have been tested and compared. The results and methods, which have been implemented, are presented. The usual correlation methods based on gray values of all relevant image data have been tested. They were useful in the database. Further invariant image descriptors and the a trous wavelet transform have been implemented. These methods are promising, however more investigation is needed for the use of these methods.

Citation Download Citation

Zeno J. Geradts, Jurrien Bijhold, and Rob Hermsen "Pattern recognition in a database of cartridge cases", Proc. SPIE 3576, Investigation and Forensic Science Technologies, (4 February 1999); https://doi.org/10.1117/12.334520

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